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B. Lakshmi Priya

B. Lakshmi Priya
B. Lakshmi Priya
Associate Professor
Centre/School/Special Centre
School of Engineering
Email
lakshmipriya@mail.jnu.ac.in, lakshmipriya10@gmail.com
Personal Webpage
https://jnu.ac.in
Qualifications
  • B.Tech (Electronics and Communication Engineering) – Pondicherry University
  • M.E (Applied Electronics) – St. Peter’s University, Chennai
  • Ph.D – Pondicherry University
Areas of Interest/Specialization

Biomedical Image and Signal Processing, Machine Learning, Deep Learning, Semantic segmentation, Image-to-Image Translation, Liver CT Imaging

Experience
  • May 2024 to till date: Associate Professor, School of Engineering, Jawaharlal Nehru University, New Delhi.
  • Feb 2023 to May 2023 : Assistant Professor (Sr), School of Computer Science and Engineering, VIT Chennai Campus, Chennai.
  • Feb 2021 to Feb 2023: Post Doctoral Fellow, Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry. Sponsored by Science and Engineering Research Board (SERB) under National Post Doctoral Fellowship (NPDF) Scheme.
  • May 2013 – Feb 2021: Associate Professor, Department of Electronics and Communication Engineering, Manakula Vinayagar Institute of Technology, Puducherry.
Awards & Honours
  • Recipient of NPDF Fellowship, SERB, India.
  • First Rank Holder in the Master of Engineering in Applied Electronics (Gold Medallist)
  • Recipient of IEEE Award by IEEE Madras Section in recognition of publication in IEEE Journal.
  • Asia Pacific Hepato Pancreato Biliary Association (APHPBA) 2023 Bursary Award
  • Senior Member – IEEE (Institute of Electrical and Electronic Engineers)
  • SWAYAM – NPTEL certified Domain Certification in Data Science
  • Top Performing Mentor – By NPTEL, IIT Madras.
  • Topper in NPTEL Course on “Medical Image Analysis”
  • Recognized as NPTEL Discipline Star
  • Recipient of Best Paper Award in 4 IEEE International Conferences
  • Member – ISTE (Indian Society for Technical Education)
  • Member – IDES (Institute of Doctors, Engineers and Scientists (IDES))
  • Member – IAENG (International Association of Engineers)
International Collaboration/Consultancy

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Best Peer Reviewed Publications
  1. B. Lakshmi Priya, K. Jayanthi, Biju Pottakkat & G. Ramkumar, “GoogLeNet based Ensemble FCNet Classifier for Focal Liver Lesion Diagnosis”, IEEE Journal of Biomedical and Health Informatics, vol 24, No. 6 June 2020. Pp 1686-1694, Indexed in PubMed PubMed Id: 31545749. (SCIE, IF:6.7)
  2. Lakshmipriya B., Pottakkat, B., & Ramkumar, G. (2023). Deep learning techniques in liver tumour diagnosis using CT and MR imaging-A systematic review., Artificial Intelligence in Medicine Elsevier 102557. (SCIE, IF: 6.1)
  3. Lakshmi Priya B., Jayalakshmy S., Jayanthi K. Pragatheeswaran, Saraswathi D., Poonguzhali N., “Scattering convolutional network based predictive model for cognitive activity of brain using empirical wavelet decomposition”, Biomedical Signal Processing and Control, Elsevier Vol 66, 2021,102501, ISSN 1746-8094. (SCIE, IF:4.9)
  4. Jayalakshmy, S., Lakshmipriya, B., & Sudha, G. F. (2023). Bayesian optimized GoogLeNet based respiratory signal prediction model from empirically decomposed gammatone visualization. Biomedical Signal Processing and Control, 86, 105239. (SCIE, IF:4.9)
  5. B. Lakshmi Priya, K. Jayanthi, Biju Pottakkat & G. Ramkumar (2018): A Modified Framework for Multi Slice Image Fusion for High Contrast Liver Cancer Detection, IETE Journal of Research, Vol 66, No.2, June 2020. pp 139 – 149 DOI: 10.1080/03772063.2018.1479664. (SCIE, IF:1.5)
  6. B. Lakshmi Priya, K. Jayanthi, Biju Pottakkat & G. Ramkumar, “An Image Enhancement Approach to Liver Lesion Diagnosis using Unenhanced CT”, IET Computer Vision,vol. 12, no.8, Dec 2018 pp 1078 – 1087 (SCIE, IF:1.5)
  7. Lakshmipriya, B., & Jayalakshmy, S. (2023). Wavelet scattering and scalogram visualization based human brain decoding using empirical wavelet transform. International Journal of Information Technology, 1-10, Springer
  8. Jayanthi, K., S. Mohan and Lakshmi Priya.B, "An integrated framework for emotion recognition using speech and static images with deep classifier fusion approach." International Journal of Information Technology (2022): 1-11, Springer
  9. Jayalakshmy, S.,Lakshmi Priya, B., & Sudha, G. F. (2021). Synthesis of respiratory signals using conditional generative adversarial networks from scalogram representation. In Generative Adversarial Networks for Image-to-Image Translation (pp. 161-183). Academic Press, Elsevier.
  10. B. Lakshmi Priya, K. Jayanthi, Dr. Biju Pottakkat & G. Ramkumar, “Identification of a suitable transfer learning architecture for classification: A case study with the liver tumour” in CUDLMC 2020: Computational Analysis and Understanding of Deep Learning for Medical Care: Principles, Methods, and Applications, Scrivener Publishers (pp. 53-77).
Recent Peer Reviewed Journals/Books
  1. Lakshmipriya, B., Pottakkat, B., Ramkumar, G., & Jayanthi, K. (2024). Identification of optimal semantic segmentation architecture for the segmentation of hepatic structures from computed tomography images. Multimedia Tools and Applications, 1-30. (SCIE, IF:3.0)
  2. Lakshmipriya, B.., Jayanthi, P. K., Pottakkat, B., & Ramkumar, G. (2024). Comparative evaluation of volumetry estimation from plain and contrast enhanced computed tomography liver images. Biomedical Engineering/Biomedizinische Technik, (0). (SCIE, IF: 1.3)
  3. Lakshmipriya, B., Pottakkat, B., Ramkumar, G., & Jayanthi, K. “Automated 3D visualization and volume estimation of hepatic structures for treatment planning of hepatocellular carcinoma” in Advances in Computers, April 2024.
Patents (if any)

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